Learning and Generalization provides a formal mathematical theory addressing intuitive questions of the type: * How does a machine learn a concept on the basis of examples? * How can a neural network, after training, correctly predict the outcome of a previously unseen input? * How much training is required to achieve a given level of accuracy in the prediction? * How can one identify the dynamical behaviour of a nonlinear control system by observing its input-output behaviour over a finite time? The second edition covers ...
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Learning and Generalization provides a formal mathematical theory addressing intuitive questions of the type: * How does a machine learn a concept on the basis of examples? * How can a neural network, after training, correctly predict the outcome of a previously unseen input? * How much training is required to achieve a given level of accuracy in the prediction? * How can one identify the dynamical behaviour of a nonlinear control system by observing its input-output behaviour over a finite time? The second edition covers new areas including: * support vector machines; * fat-shattering dimensions and applications to neural network learning; * learning with dependent samples generated by a beta-mixing process; * connections between system identification and learning theory; * probabilistic solution of 'intractable problems' in robust control and matrix theory using randomized algorithms. It also contains solutions to some of the open problems posed in the first edition, while adding new open problems.
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Add this copy of Learning and Generalisation: With Applications to to cart. $185.98, like new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2002 by Springer.
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Fine. Sewn binding. Cloth over boards. 488 p. Contains: Unspecified. Communications and Control Engineering. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Learning and Generalisation: With Applications to to cart. $187.86, new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2002 by Springer.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
New. Sewn binding. Cloth over boards. 488 p. Contains: Unspecified. Communications and Control Engineering. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.